The Value of PDRI and P-PASS as Predictors of Outcome After Pancreas Transplantation in a Large European Pancreas Transplantation Center

Pancreas. 2016 Mar;45(3):331-6. doi: 10.1097/MPA.0000000000000485.

Abstract

Objective: In 2008, the preprocurement pancreas suitability score (P-PASS) was introduced within Eurotransplant to predict suitability of pancreas donors. A P-PASS of 17 or higher would have lower graft survival compared with pancreatic grafts from donors with a P-PASS lower than 17. In 2010, a continuous model, the pancreas donor risk index (PDRI), was designed. Before using this model in the European donor population, it has to be validated in the European setting.

Methods: In this study, P-PASS and PDRI were validated using the results of all pancreas transplants performed at our center. The P-PASS and PDRI were compared as both continuous and dichotomous values. The original cutoff point of 17 divided P-PASS groups. Median PDRI (1.24) divided PDRI groups.

Results: In total, 349 pancreas transplantations were performed. The P-PASS of 17 or higher was not associated with graft survival (P = 0.448). The PDRI of 1.24 or higher was associated with reduced graft survival in univariate analysis (P = 0.007) and multivariate analysis (P = 0.002). The PDRI concordance index was 0.69.

Conclusions: The P-PASS has no predictive value for pancreas graft survival and should not be used in clinical decision making. The PDRI is a significant predictor of pancreas graft survival but should be used carefully, because good results can be achieved with grafts from high-PDRI donors.

MeSH terms

  • Adult
  • Female
  • Graft Survival*
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Outcome Assessment, Health Care / methods
  • Outcome Assessment, Health Care / statistics & numerical data
  • Pancreas Transplantation / methods
  • Pancreas Transplantation / statistics & numerical data*
  • Prognosis
  • Retrospective Studies
  • Risk Assessment / methods
  • Risk Assessment / statistics & numerical data
  • Risk Factors
  • Tissue Donors*
  • Tissue and Organ Procurement / statistics & numerical data*